Overview
Product Information on AISWare Usights·TAC MaaS
What is AISWare Usights·TAC MaaS?
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Overall experience with AISWare Usights·TAC MaaS
“The product significantly enhances operations analysis efficiency and decision-making intelligence.”
About Company
Company Description
AsiaInfo, headquartered in Beijing, China, specializes in providing software and IT services to the global telecommunications industry. The organization, with about 14,000 staff members, deploys advanced technologies like Cloud and Big Data in its Business Support System (BSS) and Operational Support Systems (OSS). These systems help telecom operators achieve operational efficiency, enhance customer engagement, and enable next-generation monetization capabilities. AsiaInfo's solutions also factor in the unity of subsidiaries under global telecom operators. Compliant with ISO 9001, the company maintains a focus on quality management systems.
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Reviewer Insights for: AISWare Usights·TAC MaaS
Performance of AISWare Usights·TAC MaaS Across Market Features
AISWare Usights·TAC MaaS Likes & Dislikes
We most appreciate its Conversational Data Retrieval and Automated Report Generation capabilities. Leveraging the semantic understanding and agent orchestration of the AISWare AI platform, business users can retrieve complex data through natural language without writing SQL. The system automatically handles multi-table joins, recommends visualizations, and generates structured operational analysis reports. This significantly enhances data response speed and analytical efficiency, and is especially suited to our provincial mobile company's multi-departmental, multi-scenario rapid decision-making needs.
Churn Prediction Accuracy: The AI model for predicting customer churn is very accurate and has helped us run proactive retention campaigns. Campaign Management: The tool makes it easy to orchestrate complex marketing campaigns across different channels. Customer Segmentation: We can now segment our user base much more granularly than before, leading to higher conversion rates.
Domain-Specific Capabilities: The pre-built models for telecom scenarios are highly effective and required less customization than expected. Scalability: The platform handles large volumes of data efficiently, which is critical for our customer base size. Vendor SupportL The technical team is knowledgeable and provides timely support during the configuration and troubleshooting phases.
Although the product is feature-rich, its implementation and knowledge accumulation cycle is relatively long, particularly in domain knowledge construction and prompt engineering optimization, which requires deep involement from business experts and substantial initial investment.
Reporting Visualization: The out-of-the-box dashboards are functional but lack advanced data visualization features for executive presentations. Complexity for non-tech users: Business analysts sometimes find the model configuration too technical; a simpler drag and drop interface would be appreciated. Training Materials: We needed more training sessions from the vendor because the user manuals were to technical for our marketing team.
Learning Curve: The platform is future-rich, but this makes the user interface somewhat complex. It takes time for new administrators to become fully proficient. Documentation: While the support team is great, the self-service documentation could be more comprehensive and updated more frequently. Customization Complexity: Although the standard features work well, deep customization for very specific niche workflows required more development effort than initially anticipated.
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AISWare Usights·TAC MaaS Reviews and Ratings
- Group Product Manager10B+ USDTelecommunicationReview Source
The product significantly enhances operations analysis efficiency and decision-making intelligence.
The product deeply integrates LLMs, augmented analytics, and industry knowledge, achieving full-process automation from "data retrieval" to "report generation", significantly lowering the barrier to data analysis. In the actual business scenarios of our provincial mobile company, the product performs exceptionally well in data retrieval efficiency, report generation, and anomaly analysis. Particularly in operational analysis scenarios, it can swiftly respond to multi-departmental data queries and reporting needs, demonstrating strong practicality and intelligent capabilities. - Engineer1B-10B USDTelecommunicationReview Source
Effective AI platform that drove measurable improvements in customer retention
We selected AISWare AI2 Global Artificial Intelligence Platform primarily to enhance our customer operations and marketing efficiency. The vendor showed excellent domain knowledge in the telecom sector. The platform has successfully helped us automate our marketing campaigns and identify at-risk customers with higher accuracy. While the learning curve for business users was a bit steep initially, the ROI has been positive. - ENGINEERING MANAGER1B-10B USDTelecommunicationReview Source
Robust AI platform with Deep Telecom Industry Expertise
Our overall experience with AISWare AI2 Global Artificial Intelligence Platform has been positive. The vendor demonstrates a deep understanding of the CSP domain, which is reflected in the product's capabilities. The platform has helped us improve our operational efficiency. While the initial deployment and integration with our legacy systems was complex, the vendor's support team was responsive and helpful throughout the process. - Manager of IT Services1B-10B USDTelecommunicationReview Source
A Robust AI Platform That Significantly Boosts Operational Efficiency for CSPs
Our overall experience with the platform has been highly positive. The product delivered significant value quickly with its out-of-the-box capabilities, notably improving our ticket interception and automated processing rates, which directly enhanced operational efficiency. The accuracy of the AI in understanding and handling routine O&M queries is impressive. - ENGINEER<50M USDIT ServicesReview Source
Automated Model Development Increases Efficiency But Requires Technical Expertise At Setup
Its enterprise-grade machine learning platform (MLOps) also provides a full, end-to-end development environment—from data access and model creation to service deployment.



